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---
language:
- en
task_categories:
- text-classification
- multiple-choice
dataset_info:
- config_name: cdp_qa
features:
- name: question
dtype: string
- name: answer
dtype: string
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- config_name: climate_eng
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- name: text
dtype: string
- name: label
dtype:
class_label:
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'4': '4'
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- config_name: climate_stance
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- config_name: climatext
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- config_name: exams
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dtype: string
- name: choices
dtype: string
- name: answerKey
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- config_name: exeter
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- config_name: translated_exams
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- name: question_stem
dtype: string
- name: choices
dtype: string
- name: answerKey
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'1': B
'2': C
'3': D
- name: idx
dtype: int32
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download_size: 125236
dataset_size: 132380
---
Datasets used in the ClimateGPT paper for Climate Evaluation.
* Github Repo containing Prompt Templates for Climate Evaluation: [https://github.com/eci-io/climategpt-evaluation](https://github.com/eci-io/climategpt-evaluation)
* Paper Link: [https://arxiv.org/abs/2401.09646](https://arxiv.org/abs/2401.09646)
### Citation Information
```
@misc{thulke2024climategpt,
title={ClimateGPT: Towards AI Synthesizing Interdisciplinary Research on Climate Change},
author={David Thulke and Yingbo Gao and Petrus Pelser and Rein Brune and Rricha Jalota and Floris Fok and Michael Ramos and Ian van Wyk and Abdallah Nasir and Hayden Goldstein and Taylor Tragemann and Katie Nguyen and Ariana Fowler and Andrew Stanco and Jon Gabriel and Jordan Taylor and Dean Moro and Evgenii Tsymbalov and Juliette de Waal and Evgeny Matusov and Mudar Yaghi and Mohammad Shihadah and Hermann Ney and Christian Dugast and Jonathan Dotan and Daniel Erasmus},
year={2024},
eprint={2401.09646},
archivePrefix={arXiv},
primaryClass={cs.LG}
}
```
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